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eric-xiang/FaithfulRAG-Dataset

๐ŸŒŸ Faithful-RAG FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation (ACL 2025)A novel RAG framework explicitly modeling fact-level conflicts for more faithful retrieval-augmented generation. ๐Ÿ› ๏ธ Usage 1๏ธโƒฃ Install Dependencies pip install -r requirements.txt 2๏ธโƒฃ Quick Start Example import asyncio from datasets import load_dataset from faithfulrag importโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/eric-xiang/FaithfulRAG-Dataset.

Author / organizationeric-xiang
Downloads173 (as reported by Hugging Face)
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Created17 July 2025
Last updated at source17 July 2025
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  • 17 Oct 2026 Description: ๐ŸŒŸ Faithful-RAG FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation (ACL 2025)A novel RAG framework explicitly modeling fact-level conflicts for more faithful retrieval-augmented generation. ๐Ÿ› ๏ธ Usa โ†’ ๐ŸŒŸ Faithful-RAG FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation (ACL 2025)A novel RAG framework explicitly modeling fact-level conflicts for more faithful retrieval-augmented generation. ๐Ÿ› ๏ธ Usa

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